---
title: "Roy Ka-Wei Lee — author profile and papers in our library"
description: "Roy Ka-Wei Lee, Singapore University of Technology and Design: 7 papers on Elamur Research (2024–2026), h-index 25 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/roy-ka-wei-lee/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/roy-ka-wei-lee/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Roy Ka-Wei Lee

# Roy Ka-Wei Lee

Roy Ka-Wei Lee has 7 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bryan Chen Zhengyu Tan](https://md.research.elamur.ai/free/en/authors/bryan-chen-zhengyu-tan/), [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/).

7 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5089793938) · [ORCID](https://orcid.org/0000-0002-1986-7750) · [Wikidata](https://www.wikidata.org/wiki/Q130801154) · [**h-index 25**](https://openalex.org/authors/A5089793938) · [148 works](https://openalex.org/works?filter=author.id:A5089793938) · [2,102 citations](https://openalex.org/works?filter=author.id:A5089793938&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/#papers) · [🔗 Cited 600 times in our library](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8018](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8018)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Roy+Ka-Wei+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Roy+Ka-Wei+Lee) · [dblp](https://dblp.org/search?q=Roy+Ka-Wei+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Roy+Ka-Wei+Lee)

## Affiliations

[🎓**Singapore University of Technology and Design** Singapore · Singapore 2020–2026 · 77 papersEmployment 2020–2026 · Associate Professor, Design and Artificial Intelligence*current*](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Nanyang Technological University** Singapore · Singapore 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**University of Saskatchewan** Saskatoon · Canada 2019–2022 · 12 papersEmployment 2019–2020 · Assistant Professor, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-saskatchewan/) · [🎓**Singapore Management University** Singapore · Singapore 2013–2019 · 12 papers](https://md.research.elamur.ai/free/en/universities/singapore-management-university/) · [🎓**University of British Columbia, Okanagan Campus** Kelowna · Canada 2026Employment since 2026 · Associate Professor, Computer Science](https://ror.org/04241wz75)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Social Sciences · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 7 Research subjects and languages the work is about.[Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Topic modeling · 1 work](https://md.research.elamur.ai/free/en/concepts/topic-modeling/)

## Works by year

### 2020s

[**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-math-llava-bootstrapping-mathematical-reasoning/)** *(2024 · 86 citations)* Open-source multimodal LLMs such as LLaVA-1.5 handle general VQA well but struggle with math problems that depend on diagrams, charts, or tables.
2. **[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/)** *(2026 · 6 citations)* Large language models tend to produce long texts in one uninterrupted pass. The results often start well but lose coherence and contradict themselves as length grows. The authors address this by imitating how human authors work. Their SuperWriter-Agent pipeline splits writing into three stages:
3. **[BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/)** *(2026 · 2 citations)* Vision-language models (VLMs) are used worldwide, yet current cultural evaluations mostly test plain fact recall or single-image grounding.
4. **[Safe at the Margins: A General Approach to Safety Alignment in Low-Resource English Languages — A Singlish Case Study](https://md.research.elamur.ai/free/en/papers/lim-2025-safe-margins-general-approach-safety/)** *(2025 · 1 citation)* LLMs are mostly safety-tuned on English data, so they behave worse in creoles and code-mixed varieties. Lim et al. address this for Singlish, the English creole of Singapore. They take SEA-Lion-v2.1-Instruct, a Llama 3-8B model adapted to Southeast Asian languages but without explicit safety tuning, and compare three…
5. **[Belief Is All You Need: Signed Belief Graph Neural Networks for Topic Modeling in Conspiratorial Discourse](https://md.research.elamur.ai/free/en/papers/shimgekar-2026-belief-is-all-you-need/)** *(2026)* Topic models that rely only on semantic similarity often merge conspiratorial and ordinary posts, because both use the same vocabulary about health, politics or money.
6. **[Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-can-persona-prompted-llms-emulate/)** *(2026)* Most LLMs are aligned to a single, aggregated value profile that often leans Western. This paper asks whether models can instead reproduce the differing values of demographic subgroups within one society. Singapore serves as the testbed, using its World Values Survey (WVS) Wave 7 data. The authors define subgroups by…
7. **[Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://md.research.elamur.ai/free/en/papers/xiao-2026-revisiting-self-play-preference-optimization/)** *(2026)* Self-play preference optimization aligns LLMs without human labels. A policy model samples several answers per prompt, a reward model scores them, and the top- and bottom-scored answers become a DPO training pair. Past work studied reward models and pair construction, but rarely asked which prompts belong in the…

## All works

15 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models ↗](https://aclanthology.org/2023.acl-long.147/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Lei Wang et al.*2023 · 666 citations*
2. **[Graph-to-Tree Learning for Solving Math Word Problems ↗](https://aclanthology.org/2020.acl-main.362/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jipeng Zhang et al.*2020 · 186 citations*
3. **[Prompting for Multimodal Hateful Meme Classification ↗](https://aclanthology.org/2022.emnlp-main.22/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rui Cao et al.*2022 · 123 citations*
4. **[Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-math-llava-bootstrapping-mathematical-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenhao Shi, Zhiqiang Hu, Yi Bin, et al.*2024 · 86 citations*
5. **[Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem ↗](https://doi.org/10.24963/ijcai.2020/555) IJCAI 2020 · no summary yet**Jipeng Zhang et al.*2020 · 76 citations*
6. **[Text Style Transfer: A Review and Experimental Evaluation ↗](https://arxiv.org/abs/2010.12742) arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45 · no summary yet**Zhiqiang Hu et al.*2020 · 71 citations*
7. **[HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection ↗](https://aclanthology.org/2020.coling-main.557/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Rui Cao, Roy Ka-Wei Lee*2020 · 68 citations*
8. **[On Orthogonality Constraints for Transformers ↗](https://aclanthology.org/2021.acl-short.48/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Aston Zhang et al.*2021 · 11 citations*
9. **[Syntax Matters! Syntax-Controlled in Text Style Transfer ↗](https://aclanthology.org/2021.ranlp-1.64/) Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021) · no summary yet**Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal*2021 · 9 citations*
10. **[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhao Wu, Yushi Bai, Zhiqiang Hu, et al.*2026 · 6 citations*
11. **[BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.*2026 · 2 citations*
12. [**Safe at the Margins: A General Approach to Safety Alignment in Low-Resource English Languages — A Singlish Case Study arXiv:2502.12485**Isaac Lim, Shaun Khoo, Roy Ka-Wei Lee, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lim-2025-safe-margins-general-approach-safety/)
13. **[Belief Is All You Need: Signed Belief Graph Neural Networks for Topic Modeling in Conspiratorial Discourse](https://md.research.elamur.ai/free/en/papers/shimgekar-2026-belief-is-all-you-need/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Soorya Ram Shimgekar, Abhay Goyal, Roy Ka-Wei Lee, et al.*2026*
14. **[Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-can-persona-prompted-llms-emulate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, et al.*2026*
15. **[Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://md.research.elamur.ai/free/en/papers/xiao-2026-revisiting-self-play-preference-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.*2026*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Bryan Chen Zhengyu Tan](https://md.research.elamur.ai/free/en/authors/bryan-chen-zhengyu-tan/) ×2
- [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×2
- [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/) ×2
- [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/) ×2
- [Zhiqiang Hu](https://md.research.elamur.ai/free/en/authors/zhiqiang-hu/) ×2
- [Hwaran Lee](https://md.research.elamur.ai/free/en/authors/hwaran-lee/)
- [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/)
- [Jung-jae Kim](https://md.research.elamur.ai/free/en/authors/jung-jae-kim/)
- [See-Kiong Ng](https://md.research.elamur.ai/free/en/authors/see-kiong-ng/)
- [Xiaoyuan Yi](https://md.research.elamur.ai/free/en/authors/xiaoyuan-yi/)
- [Xing Xie](https://md.research.elamur.ai/free/en/authors/xing-xie/)
- [Yang Yang](https://md.research.elamur.ai/free/en/authors/yang-yang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2, [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/): [Workshop on Natural Language Processing and Computational Social Science 2026](https://md.research.elamur.ai/free/en/venues/nlpcss/2026/)
- IJCAI 2020
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 28th International Conference on Computational Linguistics
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)

## Cited by

Papers of our library cite their works 600 times (of the 149,439 papers whose bibliographies we read); [139 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/cited-by/).

Updated 2 November 2026